https://jasetm.fisat.ac.in/index.php/jasetm <p>The Journal of Applied Science, Engineering, Technology and Management (e-ISSN: 2584-0371) is a half-yearly diamond open-access multidisciplinary scientific journal published and sponsored by the <a href="https://fisat.ac.in/">Federal Institute of Science and Technology, Angamaly, Kerala, India</a>.</p> <p>Diamond open access journals allow immediate access to the content of the journal without the payment of a subscription fee or licence. Unlike gold open access model, authors have to pay <span style="text-decoration: underline;"><em><strong>no article publication charges</strong></em></span> and all the costs of publishing the journal are met by the sponsoring organization <a href="https://fisat.ac.in/">Federal Institute of Science and Technology, Angamaly, Kerala, India</a>.</p> <p>Initiated in the year 2023, JASETM is a fully online journal that publishes only in the English language and has a frequency of two issues per year. The journal welcomes contributions from diverse areas, including but not limited to physics, chemistry, mathematics, statistics, computer science, civil engineering, mechanical engineering, electrical engineering, materials science, environmental science, and business management.</p> <p>All the articles published in JASETM are indexed in Google Scholar. JASETM is a member of CrossRef and all papers published online will bear a DOI. It serves as a comprehensive platform for the exchange of innovative ideas and research in the fields of applied science, engineering, technology and management.</p> en-US <p>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution License</a> that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</p> <p>Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after the acceptance, with an acknowledgement of its initial publication in this journal, as it can lead to productive exchanges, as well as earlier and greater citation of published work.</p> editorjasetm@fisat.ac.in (Dr. Rejeesh C R/ Managing Editor (JASETM)) supportjasetm@fisat.ac.in (Technical Support) Wed, 31 Dec 2025 00:00:00 +0000 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 https://jasetm.fisat.ac.in/index.php/jasetm/article/view/48 <p>Efficient water resource management is vital for sustainable agriculture, particularly in the operation of irrigation canals. This project introduces an Internet of Things (IoT)-based system designed to provide real-time data on water discharge within these canals, aiming to enhance distribution efficiency and minimize wastage. The system features a user-friendly mobile application, Flow Tracker, which offers real-time visualization of water levels and discharge rates, empowering users to make informed decisions promptly. To accommodate diverse operational environments, the system supports multiple power input options, including DC power input, rechargeable lithium batteries, and ESP module charging. Field tests have demonstrated the system’s accuracy and reliability across various environmental conditions. By integrating IoT technology with real-time data analytics and intuitive interfaces, this system represents a significant advancement over traditional discharge measurement methods, addressing common challenges in irrigation management and promoting the sustainable use of water resources.</p> Aiswarya Das T.H. , Devna T Surendran, Amal Krishna P.U , Aqueena Wilson, Sowmya V Krishnankutty , Anu Roy Copyright (c) 2025 Aiswarya Das T.H. , aiswaryadas613@gmail.com, Amal Krishna P.U , Aqueena Wilson, Sowmya V Krishnankutty , Anu Roy https://creativecommons.org/licenses/by/4.0 https://jasetm.fisat.ac.in/index.php/jasetm/article/view/48 Sat, 16 Aug 2025 00:00:00 +0000 https://jasetm.fisat.ac.in/index.php/jasetm/article/view/49 <p>In the realm of sustainable architecture and civil engineering, optimizing foundational and material components is pivotal for achieving structural stability and environmental efficiency. An innovative AI-driven parametric design tool tailored to address these crucial aspects by leveraging real-time environmental data and material properties. The tool aims to enhance decision-making, reduce carbon footprint, and ensure cost-effective construction practices. The Foundation Model plays a vital role by utilizing comprehensive soil data, including specific gravity, and moisture content, collected from multiple borehole samples. Processed through SQLite, this model provides precise foundation type recommendations, ensuring stability and cost efficiency under diverse geological conditions. The Material Model evaluates essential material properties such as thermal conductivity, water absorption, permeability, and durability. It emphasizes selecting sustainable building materials tailored to different climate zones, promoting energy efficiency and reducing environmental impact. By focusing on these two core components, the project demonstrates the potential of AI in transforming traditional construction methodologies. This offers a forward-thinking approach to material and foundation optimization, contributing to the advancement of sustainable architecture. Through data-driven insights and automation, it paves the way for more resilient and eco-friendly building designs</p> Adhil M, Adithyan M S , Ajithkumar A. B. , Anna Lesly, Asha Joseph Copyright (c) 2025 Adhil M, Adithyan M S , Ajithkumar A. B. , Anna Lesly, Asha Joseph https://creativecommons.org/licenses/by/4.0 https://jasetm.fisat.ac.in/index.php/jasetm/article/view/49 Sat, 30 Aug 2025 00:00:00 +0000